Senior Research Engineer, Frontier Data
$250k - $350k • Remote • United States
Posted 22d ago
Job Location
United States
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
Turing is seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Responsibilities
- Investigate the capabilities, limitations, and training methods of frontier AI systems.
- Formulate research questions to inform Turing's products, platforms, and technical strategy.
- Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
- Stay current with advances in machine learning and identify opportunities for technical contribution.
- Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
- Train, test, and evaluate models using modern AI and machine learning tools.
- Analyze results carefully and draw clear, evidence-based conclusions.
- Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
- Iterate quickly from early hypothesis through validated technical insight.
- Collaborate closely with Research, Engineering, Product, and Operations teams.
- Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
- Help identify ideas ready for scalable, real-world application.
- Communicate technical findings clearly to specialized and cross-functional audiences.
- Share findings through technical reports, publications, open-source work, workshops, or conference participation.
- Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
- Represent Turing within the broader AI research community.
Requirements
- PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
- Strong foundation in machine learning.
- Practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
- Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
- Strong programming skills.
- Ability to implement research prototypes and tooling.